Triple
T2830884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lublin Voivodeship |
E62231
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Świdnik
Świdnik is a town in eastern Poland known for its aviation industry and proximity to the regional capital, Lublin.
|
E475852
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Świdnik | Statement: [Lublin Voivodeship, contains, Świdnik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Świdnik Context triple: [Lublin Voivodeship, contains, Świdnik]
-
A.
Świdnica
Świdnica is a historic town in southwestern Poland known for its well-preserved medieval architecture and the UNESCO-listed Church of Peace.
-
B.
Wyszogród
Wyszogród is a historic town in central Poland on the Vistula River, known for its medieval roots and strategic location that has seen numerous military events over the centuries.
-
C.
Olsztynek
Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
-
D.
Wadowice
Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
-
E.
Ojców
Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Świdnik Triple: [Lublin Voivodeship, contains, Świdnik]
Generated description
Świdnik is a town in eastern Poland known for its aviation industry and proximity to the regional capital, Lublin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Świdnik Target entity description: Świdnik is a town in eastern Poland known for its aviation industry and proximity to the regional capital, Lublin.
-
A.
Świdnica
Świdnica is a historic town in southwestern Poland known for its well-preserved medieval architecture and the UNESCO-listed Church of Peace.
-
B.
Wyszogród
Wyszogród is a historic town in central Poland on the Vistula River, known for its medieval roots and strategic location that has seen numerous military events over the centuries.
-
C.
Olsztynek
Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
-
D.
Wadowice
Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
-
E.
Ojców
Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebd5a2c81908f0e30a0ae0eb8df |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67a122ac81909843cd58f3f8f08d |
completed | March 21, 2026, 9:40 a.m. |
| NEDg | Description generation | batch_69be6874a1348190ac90c137299d4468 |
completed | March 21, 2026, 9:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be68c77c088190a57376c608abe4c0 |
completed | March 21, 2026, 9:45 a.m. |
Created at: March 6, 2026, 10:01 p.m.